Seahorse, a new open-source memory system for LLM agents, stores persistent, bi-temporal memory in local markdown files readable in Obsidian, addressing the problems of opaque, costly, and unreliable …
Researchers introduced MindMemOS, a portable and self-evolving memory operating layer for AI agents, which achieved 94.03% accuracy on LOCOMO and 70.63% on PersonaMem, and its MindSkillEvolve algorith…
A developer's RE-call memory system, which never calls an LLM, scores lower on temporal reasoning (0.408 vs. 0.567) than Mem0 on the BEAM benchmark, but avoids any LLM cost and keeps data in Postgres.…
A developer discovered that the widely-cited LOCOMO benchmark for AI memory excludes 22.5% of its questions—those testing whether a system can correctly say 'I don't know'—and instructs models to neve…
A developer built a benchmark to test whether a local-first knowledge tool called IWE could serve as agent memory by storing memories as linked markdown files and retrieving them with graph-aware tool…
Researchers have introduced "Behavioral Specification" as a new interpretive layer for AI memory, arguing that current systems optimized for factual recall fail to capture how a specific person proces…